{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
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   "source": [
    "import pandas as pd\n",
    "import geoviews as gv\n",
    "\n",
    "from geoviews import dim\n",
    "\n",
    "gv.extension('bokeh')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cities = pd.read_csv('../../assets/cities.csv', encoding=\"ISO-8859-1\")\n",
    "population = gv.Dataset(cities, kdims=['City', 'Country', 'Year'])\n",
    "points = population.to(gv.Points, ['Longitude', 'Latitude'], ['Population', 'City', 'Country'])\n",
    "\n",
    "tiles = gv.tile_sources.Wikipedia"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tiles * points.opts(\n",
    "    color='Population', cmap='viridis', size=dim('Population')*0.000001,\n",
    "    tools=['hover'], global_extent=True, width=600, height=600)"
   ]
  }
 ],
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